Triple

T8960977
Position Surface form Disambiguated ID Type / Status
Subject Hāna E214001 entity
Predicate hasAccessRoad P9041 FINISHED
Object Hawaii Route 36 E220336 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hawaii Route 36 | Statement: [Hāna, hasAccessRoad, Hawaii Route 36]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hawaii Route 36
Context triple: [Hāna, hasAccessRoad, Hawaii Route 36]
  • A. Hawaii Route 36 chosen
    Hawaii Route 36 is a state highway on the island of Maui that forms part of the scenic coastal roadway connecting Kahului to the Hāna region.
  • B. Hawaii Route 32
    Hawaii Route 32 is a state highway on the island of Maui that serves the town of Wailuku and connects it to surrounding areas.
  • C. Hawaii Route 56
    Hawaii Route 56 is a major state highway on the island of Kauai that runs along the island’s eastern and northern coasts, connecting key towns and tourist destinations.
  • D. Hawaii Route 58
    Hawaii Route 58 is a short state highway on the island of Kauai that provides access to key areas in and around Līhuʻe.
  • E. Hawaii Route 72
    Hawaii Route 72 is a scenic state highway on the island of Oʻahu that runs along the southeastern coast, connecting Honolulu to communities such as Hawaiʻi Kai and Waimānalo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6748baa88190ac54e701dc4d6212 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc94ab868819080ff3fc7532a3874 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7 p.m.